Zobrazeno 1 - 10
of 25 543
pro vyhledávání: '"Serban, A."'
Autor:
Engler, Byron, Kasper, Markus, Leveratto, Serban, Heritier, Cedric Taissir, Bristow, Paul, Verinaud, Christophe, Louarn, Miska Le, Nousiainen, Jalo, Helin, Tapio, Bonse, Markus, Quanz, Sascha, Glauser, Adrian, Bernard, Julien, Gratadour, Damien, Clare, Richard
The GPU-based High-order adaptive OpticS Testbench (GHOST) at the European Southern Observatory (ESO) is a new 2-stage extreme adaptive optics (XAO) testbench at ESO. The GHOST is designed to investigate and evaluate new control methods (machine lear
Externí odkaz:
http://arxiv.org/abs/2411.05408
In this note we announce some results extending our recent work with A. Toufik on the free-fermion point q=i of the Haldane-Shastry chain to the case with an even number N of sites. The resulting long-range version of the Heisenberg XX chain may be v
Externí odkaz:
http://arxiv.org/abs/2411.02472
This contribution reports on a software framework that uses physically-based rendering to simulate camera operation in lunar conditions. The focus is on generating synthetic images qualitatively similar to those produced by an actual camera operating
Externí odkaz:
http://arxiv.org/abs/2410.04371
Autor:
Cicortas, Serban
The purpose of this paper is to establish a definitive quantitative nonlinear scattering theory for asymptotically de Sitter solutions of the Einstein vacuum equations in $(n+1)$ dimensions with $n\geq4$ even, which are determined by small scattering
Externí odkaz:
http://arxiv.org/abs/2410.01558
Autor:
Gasparovici, Andrei, Serban, Alex
We propose a deep learning method to model and generate synthetic aortic shapes based on representing shapes as the zero-level set of a neural signed distance field, conditioned by a family of trainable embedding vectors with encode the geometric fea
Externí odkaz:
http://arxiv.org/abs/2409.16058
Autor:
Wang, Jingquan, Zhang, Harry, Unjhawala, Huzaifa Mustafa, Negrut, Peter, Wang, Shu, Slaton, Khailanii, Serban, Radu, Wu, Jin-Long, Negrut, Dan
We introduce SimBench, a benchmark designed to evaluate the proficiency of student large language models (S-LLMs) in generating digital twins (DTs) that can be used in simulators for virtual testing. Given a collection of S-LLMs, this benchmark enabl
Externí odkaz:
http://arxiv.org/abs/2408.11987
We extend to arbitrary measures results of Bao, Erd\"os, Schnelli, Moreillon, and Ji on the connectedness of the supports of additive convolutions of measures on \mathbb{R} and of free multiplicative convolutions of measures on \mathbb{R}_+. More pre
Externí odkaz:
http://arxiv.org/abs/2408.06573
Autor:
Jebelean, Petru, Serban, Calin
We are concerned with solvability of a non-potential system involving two relativistic operators, subject to boundary conditions expressed in terms of maximal monotone operators. The approach makes use of a fixed point formulation and relies on a pri
Externí odkaz:
http://arxiv.org/abs/2407.09425
Observational data have been actively used to estimate treatment effect, driven by the growing availability of electronic health records (EHRs). However, EHRs typically consist of longitudinal records, often introducing time-dependent confoundings th
Externí odkaz:
http://arxiv.org/abs/2406.08851
Autor:
Avram, Andrei-Marius, Iuga, Andreea, Manolache, George-Vlad, Matei, Vlad-Cristian, Micliuş, Răzvan-Gabriel, Muntean, Vlad-Andrei, Sorlescu, Manuel-Petru, Şerban, Dragoş-Andrei, Urse, Adrian-Dinu, Păiş, Vasile, Cercel, Dumitru-Clementin
This work introduces HistNERo, the first Romanian corpus for Named Entity Recognition (NER) in historical newspapers. The dataset contains 323k tokens of text, covering more than half of the 19th century (i.e., 1817) until the late part of the 20th c
Externí odkaz:
http://arxiv.org/abs/2405.00155